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ICCV
2007
IEEE
15 years 8 months ago
Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...
Stjepan Rajko, Gang Qian
IROS
2007
IEEE
135views Robotics» more  IROS 2007»
15 years 8 months ago
Dynamic identification of a mitsubishi pa10-6ce robot using motion capture
—This paper discusses a method to identify dynamic parameters in a rigid-link flexible-joint robot model using motion capture. The procedure is divided into two parts. First, the...
Chris Lightcap, Scott A. Banks
153
Voted
AMDO
2008
Springer
15 years 3 months ago
Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture
This paper presents a general analysis framework towards exploiting the underlying hierarchical and scalable structure of an articulated object for pose estimation and tracking. Th...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
DAGM
2007
Springer
15 years 8 months ago
Online Smoothing for Markerless Motion Capture
Tracking 3D objects from 2D image data often leads to jittery tracking results. In general, unsmooth motion is a sign of tracking errors, which, in the worst case, can cause the tr...
Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-...
124
Voted
ICVGIP
2004
15 years 3 months ago
Markerless Motion Capture from Monocular Videos
We present a method to determine the 3D spatial locations of joints of a human body from a monocular video sequence of a Bharatanatyam dance. The proposed method uses domain speci...
Vishal Mamania, Appu Shaji, Sharat Chandran